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Artificial intelligence-assisted osteoporosis risk assessment in jaw x-rays

A deep learning approach for osteoporosis identification in postmenopausal women using cone-beam computed tomography

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN13710236
Enrollment
240
Registered
2024-11-12
Start date
2022-07-01
Completion date
Unknown
Last updated
2024-12-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Detect the impact of osteoporosis on jawbone structures and develop a method to identify osteoporosis risk for postmenopausal women in the jawbone region. Musculoskeletal Diseases

Interventions

According to the aims of the study, the following will be performed: 1. Cone beam computed tomography (CBCT) examinations at the RSU Institute of Stomatology with one device (i-CAT Next generation, Ka

Sponsors

Riga Stradinš University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Reached menopause at least 1 year before the start of the study 2. Need a CBCT examination (e.g. for planning dental implants)

Exclusion criteria

Exclusion criteria: 1. The study will not include patients with diseases or conditions that may cause secondary osteoporosis, such as kidney diseases, hyperparathyroidism, Cushing’s syndrome, thyrotoxicosis, rheumatoid arthritis, etc 2. Women with early menopause before the age of 45 or surgically induced menopause were also excluded from the study 3. Patients who are taking and who one year before the study have taken medicines affecting bone metabolism such as glucocorticoids, bisphosphonates, strontium ranelate, selective oestrogen receptor modulators, HAT, calcitonin, active metabolites of vitamin D, teriparatide, etc., except calcium of less than 1,000 mg/day and vitamin D of less than 800 IU/day, were excluded from the study 4. Patients who smoked and/or abused alcohol (more than 14 units of alcohol per week) were also excluded from the study 5. Women with significant pathologies or inflammation in the jawbones 6. Women who had already undergone a DXA examination in the last year and had no indication of a DXA examination

Design outcomes

Primary

MeasureTime frame
The thickness, bone structure, and density (grey values) of the vestibular, lingual and basal cortical bone, bone structure will be measured at baseline and analyzed in each region using cone-beam computed tomography (CBCT) imaging with OnDemand3DTM software

Secondary

MeasureTime frame
Temporomandibular joints (TMJ) structures (shape, volume, density, structure, cortical bone thickness of condyle) will be measured at baseline and analyzed in each region using cone-beam computed tomography (CBCT) imaging with OnDemand3DTM software

Countries

Latvia

Contacts

Public ContactAnda Slaidina
anda.slaidina@rsu.lv+37120001278

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026